Case Western Reserve University

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Visible to the public A Framework for Validation and Monitoring of Robotic Surgery Systems

Abstract:

The objective of this research is the development of a framework for assessing the reliability and safety of robotic surgery systems during development, field testing, and general deployment. The framework uses accurate simulations to assess pre-clinical reliability before deployment. After deployment, the framework uses data collection through online monitoring of the system as it is being used in the field, followed by analysis to obtain assessments of operational reliability and safety.

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Visible to the public Cybernetic Interfaces for the Restoration of Human Movement through Functional Electrical Stimulation

Abstract:

Functional electrical stimulation (FES) is a promising technology for activating muscles in spinal cord injured (SCI) patients. The objective of our project was to develop an intuitive user interface and control system that allows high-level tetraplegic patients to regain the use of their own arm.

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Visible to the public CPS Large: Cybernetic Interfaces for the Restoration of Human Movement through Functional Electrical Stimulation

Abstract:

Functional electrical stimulation (FES) is a promising technology for activating muscles in spinal cord injured (SCI) patients. The objective of our project has been to develop an intuitive user interface and control system for FES that allows high-level tetraplegic patients to regain the use of their own arm. This work has had two primary outcomes: contributions to the development of a technology that benefits those with high-level SCI, and the development of biologically-inspired design principles for cyber-physical systems.

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Visible to the public A Framework for Validation and Monitoring of Robotic Surgery Systems

Abstract:

The objective of this research is the development of a framework for assessing the reliability and safety of robotic surgery systems during development, field testing, and general deployment. The framework uses accurate simulations to assess pre-clinical reliability before deployment. After deployment, the framework uses data collection through online monitoring of the system as it is being used in the field, followed by analysis to obtain assessments of operational reliability and safety.